{"id":"W4309942237","doi":"10.1016/j.tree.2022.11.004","title":"A bioenergetic framework for aboveground terrestrial food webs","year":2022,"lang":"en","type":"review","venue":"Trends in Ecology & Evolution","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"FACE Foundation; National Science Foundation","keywords":"Trophic level; Food web; Bioenergetics; Terrestrial ecosystem; Ecosystem; Ecology; Biodiversity; Terrestrial plant; Allometry; Ecosystem services; Trophic cascade; Primary producers; Food chain; Environmental resource management; Environmental science; Biology; Nutrient","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001032511,0.002114299,0.002158495,0.004291051,0.0005315317,0.001943366,0.002442315,0.001957159,0.004090989],"category_scores_gemma":[0.000850398,0.0004138633,0.00106195,0.004283951,0.002260506,0.003208915,0.001390107,0.002917583,0.002875739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001761316,"about_ca_system_score_gemma":0.001976221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002827894,"about_ca_topic_score_gemma":0.002424961,"domain_scores_codex":[0.9997491,0.00005457944,0.00003251924,0.00005803295,0.0000872311,0.0000184592],"domain_scores_gemma":[0.9997067,0.0001344453,0.00004632037,0.00001728464,0.00007080454,0.00002445642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004151119,0.00008385682,0.0002514255,0.03212852,0.000239296,0.0003770043,0.0002926053,0.004468804,0.003124352,0.2297575,0.02718906,0.702046],"study_design_scores_gemma":[0.000007505697,0.00004717288,0.000828889,0.00700515,0.0001062522,0.0007028125,0.0001021412,0.0005793215,0.0003830223,0.06564709,0.9245397,0.00005089671],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001640252,0.9900006,0.004818499,0.0007663953,0.0003305822,0.00001635459,0.00007565562,0.00002620852,0.003801643],"genre_scores_gemma":[0.002544474,0.9907961,0.004377515,0.000446374,0.0003353063,0.00005168672,0.0001092444,0.00001127682,0.001327917],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004291051,"threshold_uncertainty_score":0.01368576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1633604021339633,"score_gpt":0.3211048667480809,"score_spread":0.1577444646141176,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}